Triple
T22413717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megen, Haren en Macharen |
E554057
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Macharen |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Macharen | Statement: [Megen, Haren en Macharen, hasVillage, Macharen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macharen Context triple: [Megen, Haren en Macharen, hasVillage, Macharen]
-
A.
Macharen
chosen
Macharen is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
-
B.
Macharaviaya
Macharaviaya is a small historic village in the province of Málaga, Spain, known for its association with the Gálvez family and its colonial-era heritage.
-
C.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
-
D.
Machi
Machi are Mapuche spiritual leaders and healers who perform rituals, provide medicinal treatment, and mediate between the human and spiritual worlds.
-
E.
Machaon
Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594496348190ba25dc0193d092f2 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.